Using the bootstrap in a multivariadte data problem: An example

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The use of the bootstrap in the multivariate version of the paired t-test is considered and demonstrated through an example. The problem of interest involves comparing two different techniques for measuring the chemical constituents of an sample item. The bootstrap is used to form an empirical significance level for Hotelling`s one-sample T-squared statistic. The bootstrap was selected to determine empirical significance levels because the implicit assumption of multivariate normality in the classic Hotelling`s one-sample test night not hold. The results of both the classic and bootstrap test are presented and contrasted.

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7 p.

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Glosup, J.G. & Axelrod, M.C. August 1, 1995.

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Description

The use of the bootstrap in the multivariate version of the paired t-test is considered and demonstrated through an example. The problem of interest involves comparing two different techniques for measuring the chemical constituents of an sample item. The bootstrap is used to form an empirical significance level for Hotelling`s one-sample T-squared statistic. The bootstrap was selected to determine empirical significance levels because the implicit assumption of multivariate normality in the classic Hotelling`s one-sample test night not hold. The results of both the classic and bootstrap test are presented and contrasted.

Physical Description

7 p.

Notes

INIS; OSTI as DE96001320

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  • Joint statistical meetings, Orlando, FL (United States), 13-17 Aug 1995

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  • Other: DE96001320
  • Report No.: UCRL-JC--121819
  • Report No.: CONF-9508165--3
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/115638 | External Link
  • Office of Scientific & Technical Information Report Number: 115638
  • Archival Resource Key: ark:/67531/metadc622202

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Office of Scientific & Technical Information Technical Reports

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  • August 1, 1995

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • Feb. 18, 2016, 11:14 a.m.

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Glosup, J.G. & Axelrod, M.C. Using the bootstrap in a multivariadte data problem: An example, report, August 1, 1995; California. (digital.library.unt.edu/ark:/67531/metadc622202/: accessed December 15, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.